VizieR Online Data Catalog: SDSS galaxies morphological classification (Vavilova+, 2021)

Catalogue of the morphological types of 316031 galaxies with the absolute stellar magnitudes -24^m<M_r<-13^m at z<0.1 from the SDSS DR9 is obtained by the machine learning methods (support vector machine, SVM; random forest, RF). A preliminary sample of galaxies contained of ~724,000 galaxies. Following the SDSS recommendation, we input limits m_r<17.7 to avoid typical statistical errors in spectroscopic flux. The absolute stellar magnitude of the galaxy was obtained by the formula (example for r-band): M_r=m_r-5lg(D_L)-25-K_r(z)-ext_r), where m_r - visual stellar magnitude in r-band, D_L - luminosity distance, ext_r - the Galactic absorption in r-band, K_r(z) - k-correction in r-band. The color indices were calculated as (example for g-i bands) M_g-M_i=(m_g-m_i)-(ext_g-ext_i)-(K_g(z)-K_i(z)), where m_g and m_i - visual stellar magnitude; ext_g and ext_i) - the Galactic absorption; K_g(z) and K_i(z) - k-correction. We provided a binary automated morphological classification: early-type "E" and late type "L". The methods of Support Vector Machine and Random Forest with Scikit-learn software machine learning library in thePython provide the highest accuracy. Namely, 96.4% for SVM (96.1% early "E" and 96.9% late "L" types) and 95.5% for Random Forest (96.7% early "E" and 92.8% late "L" types). Applying the SVM we found 139659 E and 176372 L types galaxies.

(1 data file).